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Hybrid Quantum Repeater Chains with Atom-based Quantum Processing Units and Quantum Memory Multiplexers

Shin Sun, Daniel Bhatti, Shaobo Gao, David Elkouss, Hiroki Takahashi
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Researchers propose a hybrid quantum repeater architecture combining atom-based quantum processors, photon sources, and atomic frequency comb memories to overcome long-distance entanglement distribution challenges. The design leverages spectro-temporal multiplexing in quantum memories to achieve high-rate entanglement generation between repeater nodes, significantly improving elementary link efficiency. Photonic entanglement is converted to matter-qubit entanglement, enabling deterministic quantum operations that enhance reliability across noisy channels. Error-suppression strategies are natively integrated into the protocol, addressing photon-loss vulnerabilities in hybrid systems through tailored numerical simulations. Simulations demonstrate superior end-to-end secret key rates in linear repeater chains, positioning this approach as scalable for future large-scale quantum networks.
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Quantum Physics arXiv:2512.21655 (quant-ph) [Submitted on 25 Dec 2025] Title:Hybrid Quantum Repeater Chains with Atom-based Quantum Processing Units and Quantum Memory Multiplexers Authors:Shin Sun, Daniel Bhatti, Shaobo Gao, David Elkouss, Hiroki Takahashi View a PDF of the paper titled Hybrid Quantum Repeater Chains with Atom-based Quantum Processing Units and Quantum Memory Multiplexers, by Shin Sun and 4 other authors View PDF HTML (experimental) Abstract:Quantum repeaters enable the generation of reliable entanglement across long distances despite the underlying channel noise. Nevertheless, realizing quantum repeaters poses a difficult engineering challenge due to various device constraints and design tradeoffs. Herein, we propose and analyze an efficient hybrid quantum repeater design that integrates atom-based quantum processing units, spontaneous parametric down-conversion photon sources, and atomic frequency comb quantum memories. Our design leverages the strong spectro-temporal multiplexing capability of the quantum memory to enable high-rate elementary-link entanglement generation between repeater nodes. Transferring the photonic entanglement into matter-qubit entanglement, together with deterministic quantum operations, further enables reliable long-distance entanglement distribution. We analyze photon-loss channels in the hybrid architecture and propose suitable error-suppression strategies that are natively incorporated into our repeater protocol. Using numerical simulations, we demonstrate the advantages of our hybrid design for end-to-end secret key rates in a linear repeater-chain model. With continued advances in relevant hardware technologies, we envision that the proposed hybrid design is well-suited for large-scale quantum networks. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2512.21655 [quant-ph] (or arXiv:2512.21655v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2512.21655 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Shin Sun [view email] [v1] Thu, 25 Dec 2025 12:53:46 UTC (1,517 KB) Full-text links: Access Paper: View a PDF of the paper titled Hybrid Quantum Repeater Chains with Atom-based Quantum Processing Units and Quantum Memory Multiplexers, by Shin Sun and 4 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-12 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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